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Data Dimensions Jobs in Georgia (NOW HIRING)

OneTrust

Senior Manager, Data Engineering

Atlanta, GA · On-site

Design and build facts, dimensions, snapshots, SCDs in Snowflake/Databricks using dbt/airflow/elt tools. Maintain robust, trusted data models. * Hire and retain top data engineering talent. * Assist ...

OneTrust

Senior Manager, Data Engineering

Atlanta, GA · On-site

$153K - $230K/yr

Design and build facts, dimensions, snapshots, SCDs in Snowflake/Databricks using dbt/airflow/elt tools. Maintain robust, trusted data models. * Hire and retain top data engineering talent. * Assist ...

OneTrust

Senior Manager, Data Engineering

Atlanta, GA · On-site

$153K - $230K/yr

Design and build facts, dimensions, snapshots, SCDs in Snowflake/Databricks using dbt/airflow/elt tools. Maintain robust, trusted data models. * Hire and retain top data engineering talent. * Assist ...

Premier Truck Rental

Senior Analytics Engineer

Atlanta, GA

$100K - $138K/yr

Working closely with Data Engineering, Data Architecture, and the BI team, you will translate ... Enterprise Shared Dimensions : Own the enterprise shared dimensions -- customer hierarchy, GL ...

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Data Dimensions information

What are data dimensions?

Data dimensions are attributes or perspectives by which data can be categorized, organized, and analyzed. In the context of data management and analytics, dimensions such as time, geography, product, or customer allow users to slice and dice data for deeper insights. For example, a sales dataset might have dimensions like region and sales period, enabling users to analyze performance by different locations or times. Understanding data dimensions is essential for building effective reports, dashboards, and business intelligence solutions. They help transform raw data into meaningful information for decision-making.

What are the key skills and qualifications needed to thrive as a data analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in mathematics or computer science. Familiarity with data analysis tools like SQL, Excel, Python, R, and data visualization platforms such as Tableau is typically required. Excellent problem-solving, attention to detail, and effective communication skills set top performers apart in this role. These skills are essential for extracting meaningful insights from data, supporting business decisions, and clearly conveying findings to stakeholders.

What are some common challenges faced by professionals working in data dimensions roles, and how can they overcome them?

Professionals in data dimensions roles often encounter challenges related to ensuring data quality, consistency, and proper integration across multiple data sources. Managing large volumes of data and maintaining accurate dimensional hierarchies can be complex, especially in organizations with rapidly evolving datasets. To overcome these challenges, it's important to establish clear data governance practices, collaborate closely with data engineers and business analysts, and leverage robust data management tools. Continuous learning and staying updated on best practices in data modeling and warehousing also contribute to long-term success in this field.

What are popular job titles related to Data Dimensions jobs in Georgia?

For Data Dimensions jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Data Dimensions jobs in Georgia look for?

The top searched job categories for Data Dimensions jobs in Georgia are:

What cities in Georgia are hiring for Data Dimensions jobs?

Cities in Georgia with the most Data Dimensions job openings:

Data Dimensions jobs near you
Infographic showing various Data Dimensions job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Senior Manager, Data Engineering

OneTrust

Atlanta, GA • On-site

Full-time

Posted 8 days ago

Job description

The Challenge 

As Senior Manager, Data Engineering and Platform you will be a people leader of a team of Data Engineers responsible for creating platform and data engineering architecture for business intelligence and data science solutions.  This role will have a substantial focus on coaching and people management alongside a strong individual contributor component in hands-on data engineering.

Your Mission 

You will work closely with other team members like data architects and business analysts to understand what the business is trying to achieve, move data from source to target, and design optimal data models.   

  • Develop and adhere to standard methodologies: platform architecture, data engineering, data quality, analysis, validation to ensure the team provides quality work to company and build trust with analytics solutions. 

  • Propose and socialize data architecture to enable OneTrust business analytics. 

  • Drive technical conversations with stakeholders to explore all facets of problem and solution. 

  • Solve immediate production issues with an eye to solve things for long-term. 

  • Work with vendors and security teams for appropriate data controls. 

  • Partner with cross functional teams to align on product usage data, business data, development standards and overall data strategy. 

  • Design and build facts, dimensions, snapshots, SCDs in Snowflake/Databricks using dbt/airflow/elt tools. Maintain robust, trusted data models.  

  • Hire and retain top data engineering talent. 

  • Assist in the growth of each employee through coaching and career development activities. 

You Are 

Seeking someone who can leverage a deep technical understanding of data engineering, data warehousing, and data architecture while leading and motivating an on-call team of engineers in a challenging, dynamic environment. 

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 

  • 10+ years of professional data engineering experience. Acting as an incident commander during critical outages. 

  • Extensive experience with data architecture, tool evaluations, data modeling, and building ETL pipelines. 

  • Experience working in high-growth, fast-paced environment. 

  • Experience working with distributed teams across geos. 

  • Experience evaluating new data engineering tools and enriching existing architecture. 

  • Strong data warehouse knowledge and ability to write complex SQL for processing raw data, data validation, and QA.  

  • Experience with Python and manipulation of various data formats for extraction and transformation.  

Extra Awesome 

  • Experience using AI in a data engineering context 

  • Experience managing distributed teams across geos. 

  • Experience in designing Data Warehouse: ACV, ARR, Event History, Identity Resolution, Deferred Revenue, Revenue Metrics, Experimentation, Audience  

  • Growth Learner:Desire to continue to learn about the future architecture of data technologies. 

Apply